OPTIMIZATION ( Reduction in response time) for efficient use of resources by job scheduling technique. The experimental results are performed using MATLAB software under different mean arrival time i.e. 24, 26 and 28. From the analysis it confirms that proposed technique of scheduling outperforms the other traditional scheduling algorithms and performs expertly in varying workloads. The main purpose is to maximize the efficiency of the system with the discovery of efficient operating scenario that can handle the load with effective response time.
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OPTIMIZATION ( Reduction in response time) for efficient use of resources by job scheduling technique. The experimental results are performed using MATLAB software under different mean arrival time i.e. 24, 26 and 28. From the analysis it confirms that proposed technique of scheduling outperforms the other traditional scheduling algorithms and performs expertly in varying workloads. The main purpose is to maximize the efficiency of the system with the discovery of efficient operating scenario that can handle the load with effective response time.
Dr. Himanshu Monga-Obtained PhD from Thapar Institute of Engineering and Technology, (TU) Department Of ECE, Patiala, Punjab, INDIA, in the field of Optical networks / coding and Wireless networks. He obtained his bachelor’s degree in Electronics & Communication Engineering from Govt. Engineering College, Amravati University, Maharashtra, India.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -OPTIMIZATION ( Reduction in response time) for efficient use of resources by job scheduling technique. The experimental results are performed using MATLAB software under different mean arrival time i.e. 24, 26 and 28. From the analysis it confirms that proposed technique of scheduling outperforms the other traditional scheduling algorithms and performs expertly in varying workloads. The main purpose is to maximize the efficiency of the system with the discovery of efficient operating scenario that can handle the load with effective response time. 68 pp. Englisch. Bestandsnummer des Verkäufers 9786202307307
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Monga HimanshuDr. Himanshu Monga-Obtained PhD from Thapar Institute of Engineering and Technology, (TU) Department Of ECE, Patiala, Punjab, INDIA, in the field of Optical networks / coding and Wireless networks. He obtained his bache. Bestandsnummer des Verkäufers 385940990
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Taschenbuch. Zustand: Neu. Neuware -OPTIMIZATION ( Reduction in response time) for efficient use of resources by job scheduling technique. The experimental results are performed using MATLAB software under different mean arrival time i.e. 24, 26 and 28. From the analysis it confirms that proposed technique of scheduling outperforms the other traditional scheduling algorithms and performs expertly in varying workloads. The main purpose is to maximize the efficiency of the system with the discovery of efficient operating scenario that can handle the load with effective response time.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Bestandsnummer des Verkäufers 9786202307307
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - OPTIMIZATION ( Reduction in response time) for efficient use of resources by job scheduling technique. The experimental results are performed using MATLAB software under different mean arrival time i.e. 24, 26 and 28. From the analysis it confirms that proposed technique of scheduling outperforms the other traditional scheduling algorithms and performs expertly in varying workloads. The main purpose is to maximize the efficiency of the system with the discovery of efficient operating scenario that can handle the load with effective response time. Bestandsnummer des Verkäufers 9786202307307
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Taschenbuch. Zustand: Neu. Optimization Technique - Job Scheduling | Himanshu Monga (u. a.) | Taschenbuch | 68 S. | Englisch | 2018 | SPS | EAN 9786202307307 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 111697492
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